01. Jaque Istok,visits #theCUBE!. (00:33)
02. Pivotal's Data Team and Analytic Products. (01:38)
03. Pivotal's Bridge to the Modern. (03:40)
04. Showing You How to Wrangle Your Data. (05:15)
05. Cloud Use for Success. (08:00)
06. Customer Embrace of the Cloud. (10:09)
07. Data Engineering & Science as One Team. (11:39)
08. The Skills Gap in Big Data and How Pivotal Overcomes It. (13:50)
09. Big Data, Automation, and the Citizen Data Scientist. (17:21)
Track List created with http://www.vinjavideo.com.
--- ---
Creating a holistic Big Data team: Mixing scientists and engineers | #BigDataNYC
by Teryn O'Brien | Sep 28, 2016
Claiming one of the largest data science teams in America, Pivotal Software Inc., shares its strategies for the company and its customers when it comes to Big Data.
Jacque Istok, America’s Field CTO of Pivotal, spoke with Dave Vellante (@dvellante) and Peter Burris (@plburris), cohosts of theCUBE, from the SiliconANGLE Media team, during BigDataNYC 2016 to discuss the company’s latest Big Data initiative.
A holistic data team
Pivotal Software made huge changes to manage its Big Data services by combining its data science teams with its data engineering teams, Istok explained. The general notion with this change is that all of these data problems that the company is trying to solve are better solved with a holistic data team. Pivotal also teaches and guides developers to help turn them into data engineers and data scientists.
“Pivotal makes the perfect bridge to modern,” said Istok. Most customers the company works with are enterprises that have a lot of history behind them when it comes to technology, so by leveraging Pivotal Software’s products, companies can get a path to “modern” and take their existing deployment and move that to Amazon, Google or Azure seamlessly, he stated.
Strategies for Pivotal customers
“Number one thing that I’ve seen lately has been, again, a huge interest in the cloud,” said Istok. There’s a general assumption that whatever organizations did on premise, they can just replicate on cloud, but what the cloud provides is actually a different type of infrastructure to take a more holistic approach, according to Istok.
The typical IT organization thinks about its design and how to extend it, but Pivotal Software is helping its customers think of an entirely new design and how they can extend it.
“It has to be a gradual shift, which is where products like ours can kind of help,” said Istok. About half of Pivotal Software’s customer base is approaching Big Data with this strategy, but Pivotal Software continues to guide more enterprises and equip them to effectively move forward in the new digital market, Istok concluded.
#BigDataNYC
#theCUBE
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Jacque Istok, Pivotal | BigDataNYC 2016
01. Jaque Istok,visits #theCUBE!. (00:33)
02. Pivotal's Data Team and Analytic Products. (01:38)
03. Pivotal's Bridge to the Modern. (03:40)
04. Showing You How to Wrangle Your Data. (05:15)
05. Cloud Use for Success. (08:00)
06. Customer Embrace of the Cloud. (10:09)
07. Data Engineering & Science as One Team. (11:39)
08. The Skills Gap in Big Data and How Pivotal Overcomes It. (13:50)
09. Big Data, Automation, and the Citizen Data Scientist. (17:21)
Track List created with http://www.vinjavideo.com.
--- ---
Creating a holistic Big Data team: Mixing scientists and engineers | #BigDataNYC
by Teryn O'Brien | Sep 28, 2016
Claiming one of the largest data science teams in America, Pivotal Software Inc., shares its strategies for the company and its customers when it comes to Big Data.
Jacque Istok, America’s Field CTO of Pivotal, spoke with Dave Vellante (@dvellante) and Peter Burris (@plburris), cohosts of theCUBE, from the SiliconANGLE Media team, during BigDataNYC 2016 to discuss the company’s latest Big Data initiative.
A holistic data team
Pivotal Software made huge changes to manage its Big Data services by combining its data science teams with its data engineering teams, Istok explained. The general notion with this change is that all of these data problems that the company is trying to solve are better solved with a holistic data team. Pivotal also teaches and guides developers to help turn them into data engineers and data scientists.
“Pivotal makes the perfect bridge to modern,” said Istok. Most customers the company works with are enterprises that have a lot of history behind them when it comes to technology, so by leveraging Pivotal Software’s products, companies can get a path to “modern” and take their existing deployment and move that to Amazon, Google or Azure seamlessly, he stated.
Strategies for Pivotal customers
“Number one thing that I’ve seen lately has been, again, a huge interest in the cloud,” said Istok. There’s a general assumption that whatever organizations did on premise, they can just replicate on cloud, but what the cloud provides is actually a different type of infrastructure to take a more holistic approach, according to Istok.
The typical IT organization thinks about its design and how to extend it, but Pivotal Software is helping its customers think of an entirely new design and how they can extend it.
“It has to be a gradual shift, which is where products like ours can kind of help,” said Istok. About half of Pivotal Software’s customer base is approaching Big Data with this strategy, but Pivotal Software continues to guide more enterprises and equip them to effectively move forward in the new digital market, Istok concluded.
#BigDataNYC
#theCUBE
